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Rohan Subhash Jagtap
AI Engineer | Machine Learning Specialist
LinkedIn Prole
View GitHub
About Me:
I am Rohan Subhash Jagtap. AI Engineer with expertise in
Generative AI, LLMs, Computer Vision, NLP, and Azure MLOps.
Proven track record delivering production-ready solutions,
optimizing ML pipelines, and improving system accuracy. Ranked
#217 among 500K+ developers on GeeksforGeeks, demonstrating
exceptional problem-solving skills and technical prociency.
Email: 2022kucp1117@iiikota.ac.in
Phone: +91 9960569618
Linkedin: https://www.linkedin.com/in/er-rohan-subhash-jagtap-
088016290/h
GitHub: https://github.com/rohanbhaiya1705
Microsoft Prole: https://learn.microsoft.com/en-
us/users/rohanjagtap-0470/
Linktree: https://linktr.ee/rohan.jagtap_rj
#217
GeeksforGeeks Rank
Among 500K+ developers
18+
Certications
Microsoft Learn
Resume
Technical Skills:
AI & Machine Learning
Deep Learning, Generative AI,
LLMs, NLP, Transformers, YOLOv7,
RAG Systems
Frameworks & Tools
PyTorch, TensorFlow, Keras,
OpenCV, Scikit-Learn,
HuggingFace, MLow
Programming Languages
Python, C/C++, Java, MATLAB,
SQL, JavaScript
Cloud & MLOps
Microsoft Azure, Docker, CI/CD, REST APIs, Vector DBs
(FAISS/Chroma)
Web Development
React, HTML/CSS, JavaScript
Professional Experience:
1
AI Research Intern
Systemic Altruism | Sep 2024 – Mar 2025
Built decentralized AI analytics with Web3 +
ML integration
Designed blockchain-integrated reliability
models
Co-authored research papers on
decentralized AI systems
2Cybersecurity Analyst
TATA Group | Sep 2024
Automated IAM via Okta/SailPoint achieving
30% risk reduction
Conducted comprehensive enterprise
security audits
3
Data Analytics Intern
Accenture | Dec 2024
Built ML models achieving 92% accuracy on
social insights
Created dashboards analyzing 1M+ user
interactions
4Full Stack Developer
Edureka | Nov 2023 – Dec 2023
Built features improving sales by 25%
Reduced page load speed by 40% through
optimization
Featured Projects:
Autonomous Driving Model
YOLOv7 object detector achieving 98.2% accuracy with
inference time under 50ms for real-time performance.
Facial Recognition System
CNN-based recognition system with 97% precision
operating at 30 FPS for real-time applications.
Projects:
1
Spam Detection (NLP)
Hybrid model achieving 99.1% recall, successfully
deployed on Microsoft Azure cloud platform.
1
Multilingual Translation Model
Transformer-based model supporting 5 languages
with 35% latency reduction for faster translations.
Certications & Credentials:
Azure OpenAI Specialist
Microsoft Azure
Azure Vision Engineer
Microsoft Azure
Azure Speech Developer
Microsoft Azure
DevOps & Cloud Engineer
Professional certication in cloud infrastructure and
deployment
GenAI Fundamentals
Foundational expertise in Generative AI technologies
Achievements &
Recognition:
GeeksforGeeks Elite Rank
Ranked #217 among 500K+ developers worldwide, demonstrating
exceptional coding and problem-solving abilities.
Bronze Medalist
Computing Intelligence Olympiad - Top 0.5% performance among
all participants nationwide.
Microsoft Certications
Completed 18+ Microsoft Skills across AI, cloud, and development
domains.
Education:
Junior College
Dahiwadi College, Satara
2020 – 2022
B.Tech in Computer Science
IIIT Kota
2022 – 2026 (Expected)
Let's Connect With Me:
I'm always interested in discussing AI innovations, collaboration
opportunities, and challenging projects. Feel free to reach out
through any of the platforms below.
LinkedIn
Professional Prole
